多用户分布式MIMO-OFDM系统的多维资源分配算法

摘要

针对多用户分布式MIMO-OFDM系统中的资源分配问题,结合分布式架构特点,提出了一种基于分级优化的天线、子载波与功率联合分配算法.该算法将三维的资源联合分配问题分级转换为两次二维资源联合分配问题,即先引入端口并行处理机制,完成天线与子载波的分配,形成"用户-子信道对",进而采用注水功率分配的方式,完成功率在"用户-子信道对"上的分配.仿真结果表明,相比于典型的DSPA(Decouple Sub-Channel and Power Allocation)和MASA(Multi-user Antenna&Subcarrier Allocation)算法,该算法的容量性能明显提高,且其端口并行处理机制可以有效提高资源分配效率.%Taking characteristics of the distributed structure into consideration, a resource allocation algorithm called MDOSPA (Multi-user Distributed Optimization-based Sub-channel & Power Allocation) algorithm is proposed for multi-user distributed MIMO-OFDM systems. The algorithm tums the three-dimension resource co-allocation problem into two two-dimension problems. It introduces port parallel scheme into the allocation process, and allocates antennas and sub-carriers to form the "user-sub-channel", then finishes the power distribution on the "user-sub-channels" via the water-filling method. Simulation results show that compared with the typical DSPA (Decouple Sub-channel and Power Allocation) and MASA(Multi-user Antenna & Sub-carrier Allocation)algorithm, the proposed algorithm can dominantly promote the capacity performance, furthermore, its ports parallel scheme can upgrade the resource allocation efficiency.